cats137

Author: dagiro

articles/hdinsight/hdinsight-streaming-at-scale-overview.md

@@ -14,11 +14,9 @@ ms.date: 01/19/2018
 
 Real-time big data solutions  act on data that is in motion. Typically, this data is most valuable at its time of arrival. If the incoming data stream becomes greater than can be handled at that moment, you may need to throttle down resources. Alternatively, an HDInsight cluster can   scale up to meet your streaming solution by adding nodes on demand.
 
-
 In a streaming application, one or more data sources are generating events (sometimes in the millions per second) that need to be ingested  quickly  without dropping any useful information. The incoming events are handled with *stream buffering*, also called *event queuing*, by a service such as [Apache Kafka](kafka/apache-kafka-introduction.md) or [Event Hubs](https://azure.microsoft.com/services/event-hubs/). After you collect the events, you can then analyze the data using a real-time analytics system within the *stream processing* layer, such as [Apache Storm](storm/apache-storm-overview.md) or [Apache Spark Streaming](spark/apache-spark-streaming-overview.md). The processed data can be stored in long-term storage systems, like [Azure Data Lake Storage](https://azure.microsoft.com/services/storage/data-lake-storage/), and displayed in real time on a business intelligence dashboard, such as [Power BI](https://powerbi.microsoft.com), Tableau, or a custom web page.
 
-
-![HDInsight Streaming Patterns](./media/hdinsight-streaming-at-scale-overview/HDInsight-streaming-patterns.png)
+![Azure HDInsight Streaming Patterns](./media/hdinsight-streaming-at-scale-overview/HDInsight-streaming-patterns.png)
 
 ## Apache Kafka
 

articles/hdinsight/hdinsight-sync-aad-users-to-cluster.md

@@ -26,11 +26,11 @@ To view your hosts, open the Ambari Web UI. Each node will be updated with  new
 
 2. Select **All users** from the left-hand menu, then select **New user**.
 
-    ![All users pane](./media/hdinsight-sync-aad-users-to-cluster/users-and-groups-new.png)
+    ![Azure portal users and groups all](./media/hdinsight-sync-aad-users-to-cluster/users-and-groups-new.png)
 
 3. Complete the new user form. Select groups you created for assigning cluster-based permissions. In this example, create a group named "HiveUsers", to which you can assign new users. The [example instructions](hdinsight-domain-joined-configure.md) for creating an ESP cluster include adding two groups, `HiveUsers` and `AAD DC Administrators`.
 
-    ![New user pane](./media/hdinsight-sync-aad-users-to-cluster/hdinsight-new-user-form.png)
+    ![Azure portal user pane select groups](./media/hdinsight-sync-aad-users-to-cluster/hdinsight-new-user-form.png)
 
 4. Select **Create**.
 
@@ -42,7 +42,7 @@ The following method uses POST with the Ambari REST API. For more information, s
 
 1. [Connect to your cluster with SSH](hdinsight-hadoop-linux-use-ssh-unix.md). From the overview pane for your cluster in the Azure portal, select the **Secure Shell (SSH)** button.
 
-    ![Secure Shell (SSH)](./media/hdinsight-sync-aad-users-to-cluster/hdinsight-secure-shell.png)
+    ![HDInsight Secure Shell (SSH) icon](./media/hdinsight-sync-aad-users-to-cluster/hdinsight-secure-shell.png)
 
 2. Copy the displayed `ssh` command and paste it into your SSH client. Enter the ssh user password when prompted.
 
@@ -126,15 +126,15 @@ Open the [Apache Ambari Web UI](hdinsight-hadoop-manage-ambari.md) to verify tha
 
 1. From the Ambari dashboard, select **Manage Ambari** under the **admin** menu.
 
-    ![Manage Ambari](./media/hdinsight-sync-aad-users-to-cluster/manage-apache-ambari.png)
+    ![Apache Ambari dashboard Manage Ambari](./media/hdinsight-sync-aad-users-to-cluster/manage-apache-ambari.png)
 
 2. Select **Users** under the **User + Group Management** menu group on the left-hand side of the page.
 
-    ![Users menu item](./media/hdinsight-sync-aad-users-to-cluster/hdinsight-users-menu-item.png)
+    ![HDInsight users and groups menu](./media/hdinsight-sync-aad-users-to-cluster/hdinsight-users-menu-item.png)
 
 3. The new user should be listed within the Users table. The Type is set to `LDAP` rather than  `Local`.
 
-    ![Users page](./media/hdinsight-sync-aad-users-to-cluster/hdinsight-users-page.png)
+    ![HDInsight aad users page overview](./media/hdinsight-sync-aad-users-to-cluster/hdinsight-users-page.png)
 
 ## Log in to Ambari as the new user